Acoustic detection of small unmanned aircraft systems

1. A method of non-line-of-sight passive detection and integrated early warning of an unmanned aerial system, the method comprising:

positioning a plurality of acoustic sensors in an array under a range of potential flight paths according to at least one of a terrain, terrain features, or man-made objects or structures so as to passively ping on threat motion and threat vectors;

receiving, from at least one acoustic sensor of the plurality of acoustic sensors, an acoustic signal;

determining a flight profile state of the unmanned aerial system including take-off and landing;

determining flight characteristics of the unmanned aerial system including motor revolution rate and rotor speed;

determining a type and a weight of the unmanned aerial system from the flight characteristics; and

determining that the unmanned aerial system is a threat based at least in part on the type and the weight.

2. The method of claim 1 , wherein the array is an intra-netted array, such that each acoustic sensor of the plurality of acoustic sensors is communicatively coupled with at least one other sensor of the plurality of acoustic sensors.

3. The method of claim 2 ,

activating an integrated and internal or external electro-optical video camera associated with the at least one acoustic sensor to record video data of the unmanned aerial system;

transmitting the video data to a remote observation station; and

displaying the video data of the unmanned aerial system.

4. The method of claim 1 , further comprising combining data from the plurality of acoustic sensors with at least one other sensor to determine a position and a velocity of a source of the acoustic signal.

5. The method of claim 4 , further comprising transmitting, when the type of the unmanned aerial system is classified as the threat, relevant characteristics of the threat, the position and the velocity of the unmanned aerial system to the at least one other sensor.

6. The method of claim 5 , further comprising:

tracking a change in the position of the unmanned aerial system as the unmanned aerial system moves throughout the plurality of acoustic sensors; and

engaging the source of the acoustic signal with a weapon.

7. The method of claim 1 ,

wherein the at least one acoustic sensor is communicatively coupled with at least one other acoustic sensor of the plurality of acoustic sensors by a central control station, and

wherein the at least one acoustic sensor is disposed at a vertical distance relative to the at least one other acoustic sensor.

8. A system for non-line-of-sight passive detection and integrated early warning of an unmanned aerial system, the system comprising:

a plurality of acoustic sensors positioned in an array under a range of potential flight paths according to at least one of a terrain, terrain features, or man-made objects or structures so as to passively ping on threat motion and threat vectors;

at least one processor; and

one or more non-transitory computer-readable media storing computer-executable instructions that, when executed by the at least one processor, perform a method of classifying a source of an acoustic signal, the method comprising:

detecting the acoustic signal by at least one acoustic sensor of the plurality of acoustic sensors;

determining a flight profile state of the unmanned aerial system including take-off and landing;

determining flight characteristics of the unmanned aerial system including motor revolution rate and rotor speed;

determining a type and a weight of the unmanned aerial system from the flight characteristics; and

determining that the unmanned aerial system is a threat based at least in part on the type and the weight.

9. The system of claim 8 , wherein the method further comprises:

filtering out known environmental acoustic signals.

10. The system of claim 9 ,

wherein the acoustic signal is a first signal;

further comprising a remote observation station; and

wherein the method further comprises transmitting a second signal to activate a warning at the remote observation station based on the determining that the unmanned aerial system is the threat.

11. The system of claim 10 ,

wherein the remote observation station is a portable communication device; and

wherein the method further comprises:

activating a video camera to record video data of the unmanned aerial system;

transmitting the video data to the portable communication device; and

displaying the video data of the unmanned aerial system.

12. The system of claim 8 , wherein the method further comprises combining data from the plurality of acoustic sensors with at least one other sensor to determine a position and a velocity of the source of the acoustic signal.

13. The system of claim 12 ,

further comprising at least one of an electromagnetic radiation sensor and a weapon, and

wherein the method further comprises transmitting, when the type of the unmanned aerial system is classified as the threat, relevant characteristics of the threat, the position and the velocity of the unmanned aerial system to at least one of the electromagnetic radiation sensor and the weapon.

14. The system of claim 13 , wherein the method further comprises:

tracking a change in the position of the unmanned aerial system as the unmanned aerial system moves throughout range the plurality of acoustic sensors; and

automatically engaging the unmanned aerial system with the weapon based at least in part on the threat.

15. A system for non-line-of-sight passive detection and integrated early warning of an unmanned aerial system, the system comprising:

a plurality of acoustic sensors positioned in an array according to at least one of a terrain, terrain features, or man-made objects or structures;

at least one acoustic sensor of the plurality of acoustic sensors receiving an acoustic signal;

at least one processor; and

one or more non-transitory computer-readable media storing computer-executable instructions that, when executed by the at least one processor, perform a method of classifying a source of the acoustic signal, the method comprising:

detecting the acoustic signal by the at least one acoustic sensor of the plurality of acoustic sensors;

determining a flight profile state of the unmanned aerial system including take-off and landing;

determining flight characteristics of the unmanned aerial system including motor revolution rate and rotor speed;

determining a type and a weight of the unmanned aerial system from the flight characteristics;

determining that the unmanned aerial system is a threat based at least in part on the type and the weight,

wherein the acoustic array is always active, and

activating at least one non-acoustic sensor for tracking the unmanned aerial system based at least in part on the determining that the unmanned aerial system is the threat.

16. The system of claim 15 , wherein the method further comprises:

detecting a location and a velocity of the source of the unmanned aerial system by the at least one non-acoustic sensor.

17. The system of claim 16 , wherein the method further comprises:

transmitting data indicative of the unmanned aerial system to a remote observation station; and

receiving, from the remote observation station, instructions to engage the unmanned aerial system with at least one weapon.

18. The system of claim 16 ,

further comprising an electromagnetic radiation sensor; and

a remote observation station;

wherein the method further comprises displaying data from the electromagnetic radiation sensor, by a display, at the remote observation station.

19. The system of claim 15 , wherein the array is an intra-netted array, such that the at least one acoustic sensor of the plurality of acoustic sensors is communicatively coupled with at least one other sensor of the plurality of acoustic sensors by a central control station.

20. The system of claim 15 , wherein classifying the unmanned aerial system and the determining of the type of the unmanned aerial system is performed by at least one machine learning algorithm trained on characteristic acoustic signals of unmanned aerial systems.